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tscd_juggernaut_final

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  <Gallery />
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- ## Model description
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  ## Model description
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- Fine-tune a distill LoRA version of [Lykon/dreamshaper-7](https:&amp;#x2F;&amp;#x2F;huggingface.co&amp;#x2F;Lykon&amp;#x2F;dreamshaper-7) using Trajectory Segmented Consistency Model (TSCD) introduce in [Hyper-SD: Trajectory Segmented Consistency Model for
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- Efficient Image Synthesis](https:&amp;#x2F;&amp;#x2F;arxiv.org&amp;#x2F;abs&amp;#x2F;2404.13686)
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- This LoRA is fine-tuned on [laion/conceptual-captions-12m-webdataset](https:&amp;#x2F;&amp;#x2F;huggingface.co&amp;#x2F;datasets&amp;#x2F;laion&amp;#x2F;conceptual-captions-12m-webdataset) for 16.000 iterations using unofficial training implementation at [https://github.com/rootonchair/consistency_models_distill](https://github.com/rootonchair/consistency_models_distill)
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  # Usage
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  ```python
 
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  <Gallery />
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  ## Model description
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+ Fine-tune a distill LoRA version of [digiplay/Juggernaut_final](https://huggingface.co/digiplay/Juggernaut_final) using Trajectory Segmented Consistency Model (TSCD) introduce in [Hyper-SD: Trajectory Segmented Consistency Model for
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+ Efficient Image Synthesis](https://arxiv.org/abs/2404.13686)
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+ This LoRA is fine-tuned on [laion/conceptual-captions-12m-webdataset](https://huggingface.co/datasets/laion/conceptual-captions-12m-webdataset) for 16.000 iterations using unofficial training implementation at [https://github.com/rootonchair/consistency_models_distill](https://github.com/rootonchair/consistency_models_distill)
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  # Usage
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  ```python